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ISQI CT-GenAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Risks of Generative AI in Software Testing | 25% | - Data privacy, security, and compliance concerns - Hallucinations, bias, inaccuracy, and consistency risks - Validation, verification, and mitigation strategies |
| Topic 2: Deploying and Integrating GenAI in Test Organisations | 15% | - Strategy, governance, and adoption roadmap - Roles, skills, and team readiness - Measuring value and continuous improvement |
| Topic 3: LLM-Powered Test Infrastructure | 10% | - RAG, fine-tuning, and model adaptation - AI agents and integration with test tools - Architecture and deployment considerations |
| Topic 4: Introduction to Generative AI for Software Testing | 15% | - Core concepts: Generative AI, LLMs, foundation models - Capabilities and limitations relevant to testing - Use cases across the testing lifecycle |
| Topic 5: Prompt Engineering for Effective Software Testing | 35% | - Prompt patterns for test design, data generation, automation - Principles and structure of effective prompts - Iterative refinement and evaluation of prompts |
ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:
A prompt begins: "You are a senior test manager responsible for risk-based test planning on a payments platform." Which component is this?
- A. Instruction
- B. Context
- C. Role
- D. Constraints
Correct Answer: C 🗳️
Explanation: Only visible for DumpsQuestion members. You can sign-up / login (it's free).
In the context of software testing, which statements (i-v) about foundation, instruction-tuned, and reasoning LLMs are CORRECT?
i. Foundation LLMs are best suited for broad exploratory ideation when test requirements are underspecified.
ii. Instruction-tuned LLMs are strongest at adhering to fixed test case formats (e.g., Gherkin) from clear prompts.
iii. Reasoning LLMs are strongest at multi-step root-cause analysis across logs, defects, and requirements.
iv. Foundation LLMs are optimal for strict policy compliance and template conformance.
v. Instruction-tuned LLMs can follow stepwise reasoning without any additional training or prompting.
- A. ii, iii, iv
- B. i, ii, iii
- C. i, ii, iii (Duplicate entry in original source)
- D. i, iii, v
Correct Answer: B 🗳️
Explanation: Only visible for DumpsQuestion members. You can sign-up / login (it's free).
When an organization uses an AI chatbot for testing, what is the PRIMARY LLMOps concern?
- A. Achieving faster responses by reducing model checkpoints and updates
- B. Focusing primarily on user experience improvements and response formatting
- C. Maximizing scalability by deploying larger cloud-based LLM clusters
- D. Maintaining data privacy and minimizing security risks from external services
Correct Answer: D 🗳️
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What is a key data-related aspect when defining a GenAI strategy for testing?
- A. Prioritize accurate and relevant input data secured through defined quality procedures
- B. Neglect legacy data sources as they provide limited immediate relevance to testing tasks
- C. Use only auto-generated synthetic data to avoid dependency on enterprise repositories
- D. Aggregate data from all available organizational repositories without filtration
Correct Answer: A 🗳️
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Which statement about data privacy risks in GenAI-assisted testing is INCORRECT?
- A. Strict GDPR compliance eliminates all privacy risk
- B. GenAI outputs can accidentally reveal sensitive information present in inputs
- C. Some GenAI tools may store/process data without explicit consent
- D. Using GenAI without regulatory compliance can lead to legal exposure
Correct Answer: A 🗳️
Explanation: Only visible for DumpsQuestion members. You can sign-up / login (it's free).
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